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1. NEO-Hazard-Classification NEO-Hazard-Classification Public

   Machine Learning models for classifying Near-Earth Objects (NEOs) as hazardous or non-hazardous.

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2. train-service-punctuality train-service-punctuality Public

   This repository investigates the punctuality of train services in Great Britain, comparing national and operator-specific services using Network Rail data from 2014 to 2023. Statistical methods and…

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3. Mobility-Patterns-of-University-Commuters Mobility-Patterns-of-University-Commuters Public

   This study examines the link between occupation and transport choices among university commuters using survey data. Python is used for data cleaning, visualization, and statistical analysis, includ…

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4. Spatial-and-Statistical-Analysis-of-Affordable-Housing-in-London Spatial-and-Statistical-Analysis-of-Affordable-Housing-in-London Public

   This project analyzes the affordability of housing in London and its socioeconomic impacts using statistical and spatial data analysis techniques. The goal is to uncover patterns, relationships, an…

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5. Job-Density-and-Crime-in-London Job-Density-and-Crime-in-London Public

   This project explores the correlation between job density and crime rates across London boroughs. By leveraging statistical and spatial analysis, it aims to provide insights for policymakers and ur…

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